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Approximate Temporal Difference Learning is a Gradient Descent for
  Reversible Policies

Approximate Temporal Difference Learning is a Gradient Descent for Reversible Policies

2 May 2018
Yann Ollivier
ArXivPDFHTML

Papers citing "Approximate Temporal Difference Learning is a Gradient Descent for Reversible Policies"

3 / 3 papers shown
Title
Towards a Better Understanding of Representation Dynamics under
  TD-learning
Towards a Better Understanding of Representation Dynamics under TD-learning
Yunhao Tang
Rémi Munos
OffRL
31
2
0
29 May 2023
Distributed TD(0) with Almost No Communication
Distributed TD(0) with Almost No Communication
R. Liu
Alexander Olshevsky
FedML
28
15
0
16 Apr 2021
A semigroup method for high dimensional committor functions based on
  neural network
A semigroup method for high dimensional committor functions based on neural network
Haoya Li
Y. Khoo
Yinuo Ren
Lexing Ying
24
6
0
12 Dec 2020
1